A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory
Air Traffic Management (ATM) will be more complex in the coming decades due to the
growth and increased complexity of aviation and has to be improved in order to maintain …
growth and increased complexity of aviation and has to be improved in order to maintain …
Aircraft 4D trajectory prediction in civil aviation: A review
Aircraft four dimensional (4D, including longitude, latitude, altitude and time) trajectory
prediction is a key technology for existing automation systems and the basis for future …
prediction is a key technology for existing automation systems and the basis for future …
Multi-aircraft trajectory collaborative prediction based on social long short-term memory network
Aircraft trajectory prediction is the basis of approach and departure sequencing, conflict
detection and resolution and other air traffic management technologies. Accurate trajectory …
detection and resolution and other air traffic management technologies. Accurate trajectory …
Aircraft trajectory prediction with enriched intent using encoder-decoder architecture
Aircraft trajectory prediction is a challenging problem in air traffic control, especially for
conflict detection. Traditional trajectory predictors require a variety of inputs such as flight …
conflict detection. Traditional trajectory predictors require a variety of inputs such as flight …
Short-term 4D trajectory prediction for UAV based on spatio-temporal trajectory clustering
G Zhong, H Zhang, J Zhou, J Zhou, H Liu - IEEE Access, 2022 - ieeexplore.ieee.org
To improve the trajectory prediction accuracy of unmanned aerial vehicles (UAVs) with
random behavior intentions, this paper presents a short-term four-dimensional (4D) …
random behavior intentions, this paper presents a short-term four-dimensional (4D) …
A clustering ensemble method of aircraft trajectory based on the similarity matrix
Performing clustering analysis on a large amount of historical trajectory data can obtain
information such as frequent flight patterns of aircraft and air traffic flow distribution, which …
information such as frequent flight patterns of aircraft and air traffic flow distribution, which …
Aircraft trajectory prediction for terminal airspace employing social spatiotemporal graph convolutional network
Four-dimensional (4-D) trajectory prediction is the core of air traffic management
technologies such as flow management, conflict detection and resolution, arrival and …
technologies such as flow management, conflict detection and resolution, arrival and …
航空器轨迹预测技术研究综述.
徐正凤, 曾维理, 羊钊 - Journal of Computer Engineering & …, 2021 - search.ebscohost.com
航空器轨迹预测是流量管理, 冲突检测和解脱, 航空器进场排序以及异常行为监测等空中交通
管理技术的基础. 关于航空器轨迹预测的研究产生了许多经典的方法和应用领域 …
管理技术的基础. 关于航空器轨迹预测的研究产生了许多经典的方法和应用领域 …
Multi-route aircraft trajectory prediction using Temporal Fusion Transformers
J Silvestre, P Mielgo, A Bregon… - IEEE …, 2024 - ieeexplore.ieee.org
Trajectory prediction plays a key role in modern air traffic management. The ability to predict
the future position of aircraft in flight allows for greater predictability, safety and efficiency. In …
the future position of aircraft in flight allows for greater predictability, safety and efficiency. In …
Using open source data for landing time prediction with machine learning methods
Increasing demands on a highly efficient air traffic management system go hand in hand
with increasing requirements for predicting the aircraft's future position. In this context, the …
with increasing requirements for predicting the aircraft's future position. In this context, the …